def voiceContoursGetter(pitchContourJson, classificationResult):
contours_bins, contours_contourSaliences, contours_start_times, duration = cr.contourReader(pitchContourJson)
contours_bins, contours_contourSaliences, contours_start_times, toRmIndex_cal = cr.contourFilter(contours_bins, contours_contourSaliences, contours_start_times, framesize = 2048, hopsize = 128)
toRmIndex_json, classification = classificationResultReader(classificationResult)
if len(toRmIndex_cal) == len(toRmIndex_json):
contours_bins_out = []
contours_contourSaliences_out = []
contours_start_times_out = []
for ii in range(len(classification)):
if classification[ii] == 0:
contours_bins_out.append(contours_bins[ii])
contours_contourSaliences_out.append(contours_contourSaliences[ii])
contours_start_times_out.append(contours_start_times[ii])
return contours_bins_out, contours_contourSaliences_out, contours_start_times_out, duration
else:
print 'problem with toRmIndex length, not equal.'
return
def featureNormalization(featureList):
'''
the structure of normalized feature list is [(feature0, mean0, sd0), (feature1, mean1, sd1), ...]
'''
normalizedFeatureList = []
for ii in range(len(featureList)-1):
normalizedFeature, mean, sd = fc.scaleFeatures(featureList[ii])
normalizedFeatureList.append((normalizedFeature, mean, sd))
normalizedFeatureList.append(featureList[-1])
return normalizedFeatureList
jj = 1
for filename in filenamesvoicePath:
print jj, len(allfilenames)
contours_bins, contours_contourSaliences, contours_start_times, duration = cr.contourReader(filename)
contours_bins, contours_contourSaliences, contours_start_times, toRmIndexCF = cr.contourFilter(contours_bins, contours_contourSaliences, contours_start_times, framesize = 2048, hopsize = 128)
#contours_bins, contours_contourSaliences, contours_start_times, toRmIndexRF = registerFilter(contours_bins, contours_contourSaliences, contours_start_times, tonicHz = 350.0) # need to give tonic firstly
lengthContour, meanPitchContour, sdPitchContour, totalSalience, meanSalience, sdSalience, mfccs = fc.featureExtract(contours_bins, contours_contourSaliences)
featureList = featureListCreate(featureList, lengthContour, meanPitchContour, sdPitchContour, totalSalience, meanSalience, sdSalience, mfccs, 0)
jj += 1
for filename in filenamesnonvoicePath:
print jj, len(allfilenames)
contours_bins, contours_contourSaliences, contours_start_times, duration = cr.contourReader(filename)
contours_bins, contours_contourSaliences, contours_start_times, toRmIndexCF = cr.contourFilter(contours_bins, contours_contourSaliences, contours_start_times, framesize = 2048, hopsize = 128)
#contours_bins, contours_contourSaliences, contours_start_times, toRmIndexRF = registerFilter(contours_bins, contours_contourSaliences, contours_start_times, tonicHz = 350.0) # need to give tonic firstly
lengthContour, meanPitchContour, sdPitchContour, totalSalience, meanSalience, sdSalience, mfccs = fc.featureExtract(contours_bins, contours_contourSaliences)
